Industrial Engineer

Statistical Analysis
Operational Research
Warehouse Management System
Business Process Management
Computational Logistics
Inventory Management

Standard Work motions and movements
Probability and statistics for engineering
Inventory Management
Production Control
Quality Control
Design of Experiments
Process Simulation

Systematically defined the nominal manufacturing scope of Costa Rica plant capacity through mathematical models in order to support the demand requirements.
● Responsibly lead projects to increase the manufacturing output at constant demand variations.
● Identify and execute Operation Excellence projects in order to maximize the manufacturing output with the same or less amount of resources. Examples:
o Lean manufacturing and kaizen events (Resources and demand planning project, Headcount estimation cycle project), standard work projects across production line in order to have improvements in yield indicator.

Integrate the test capacity model including machine and productivity indicators to plan future production requirements such as: machine inventory, layout assessment and manufacturing timelines.
● Thoroughly perform capacity analysis of production validations, sensitivity analysis and value added percentages, using tools like MS Excel, Risk, Dundas Business Intelligence Dashboards and internal Software.
● Retrieve effective units per hour/cycle time of Server Products by applying the mathematical model.
● Successfully influenced cross functional teams to ensure performance indicators meeting their goals without impacting capacity.

Descriptive Statistics
Inferencial Statistics
Test and Confidence Intervals
Process Statistical Capability
Control Charts
ANOVA
Regresion
DOE

Other certificate

Other certificate

Certificate of examination in level A2